Protein folds and families: sequence and structure alignments
Author(s) -
Liisa Holm,
Christian Sander
Publication year - 1999
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/27.1.244
Subject(s) - protein structure database , structural classification of proteins database , biology , structural alignment , sequence alignment , protein family , sequence (biology) , threading (protein sequence) , similarity (geometry) , protein structure , multiple sequence alignment , protein data bank , sequence database , sequence logo , computational biology , protein structure prediction , protein tertiary structure , computer science , genetics , peptide sequence , artificial intelligence , biochemistry , gene , image (mathematics)
Dali and HSSP are derived databases organizing protein space in the structurally known regions. We use an automatic structure alignment program (Dali) for the classification of all known 3D structures based on all-against-all comparison of 3D structures in the Protein Data Bank. The HSSP database associates 1D sequences with known 3D structures using a position-weighted dynamic programming method for sequence profile alignment (MaxHom). As a result, the HSSP database not only provides aligned sequence families, but also implies secondary and tertiary structures covering 36% of all sequences in Swiss-Prot. The structure classification by Dali and the sequence families in HSSP can be browsed jointly from a web interface providing a rich network of links between neighbours in fold space, between domains and proteins, and between structures and sequences. In particular, this results in a database of explicit multiple alignments of protein families in the twilight zone of sequence similarity. The organization of protein structures and families provides a map of the currently known regions of the protein universe that is useful for the analysis of folding principles, for the evolutionary unification of protein families and for maximizing the information return from experimental structure determination. The databases are available from http://www.embl-ebi.ac.uk/dali/
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